TrIK-SVM : an alternative decomposition for kernel methods in Krein spaces.
Gaëlle LoosliPublished in: CoRR (2019)
Keyphrases
- kernel methods
- support vector
- kernel function
- support vector machine
- hilbert space
- learning problems
- kernel parameters
- reproducing kernel hilbert space
- kernel matrix
- feature space
- machine learning
- gaussian kernel
- multiple kernel learning
- multiple kernel
- kernel ridge regression
- multi class
- kernel pca
- kernel matrices
- svm training
- support vectors
- support vector machine svm
- svm classifier
- graph kernels
- feature selection
- kernel trick
- tree kernels
- high dimensional feature space
- positive definite
- kernel learning
- support vector regression
- loss function
- linear combination
- kernel fisher discriminant analysis